Sales Budget & Forecasting

34
1 Sales Budgets

Transcript of Sales Budget & Forecasting

Page 1: Sales Budget & Forecasting

1

Sales Budgets

Page 2: Sales Budget & Forecasting

2

Sales Budget

• Why a Sales Budget?

Page 3: Sales Budget & Forecasting

3

Benefits of Budgeting

a) Improved Planning: Action to be taken is described in

quantitative terms.

Page 4: Sales Budget & Forecasting

4

Benefits of Budgeting

a) Improved Planning: Action to be taken is described in quantitative terms.b) Better coordination & communication: All departments have budgets which give future course of

action – interaction between departments. Eg. Increased Sales Increased Production Increased Finance Increased MIS / HR

Page 5: Sales Budget & Forecasting

5

Benefits of Budgeting

c) Control & performance evaluation Control & performance evaluation:

Budgets outline objectives and responsibilities so performance evaluation and control is easy. Eg. Expense monitoring,

d) Psychological benefits: Instills profit orientation / expense control / culture

in organization

Page 6: Sales Budget & Forecasting

6

Types of Budgets

a) Sales Budget

Page 7: Sales Budget & Forecasting

7

Types of Budgets

a) Sales Budget Detailed Plan showing the Expected Sales for a

Future Period …. Developed based on expected revenue (S-

forecast) Gives sales by geographically location / product

service / sales people & customers First part of Master Budget; Usually forms the

basis for other operational budgets like finance & production.

Page 8: Sales Budget & Forecasting

8

Types of Budgets

b) Selling – Expense Budget Salaries / Commissions Traveling / Entertainment Training (new products)

Page 9: Sales Budget & Forecasting

9

Types of Budgets

b) Selling – Expense Budget Salaries / Commissions Traveling / Entertainment Training (new products)

c) Administrative Budget & Profit Budget, Rent, Electricity, Office Furniture, Stationery

GP = sales revenue – sales expenses

Page 10: Sales Budget & Forecasting

10

Methods of Budgeting for Sales Force

a) Affordability Method: Management develops SB depending on

ability to spend on sales function; usually fall short of sales dept’s

requirementsb) Percentage of Sales Method: Multiply sales revenue by a given %; Sales revenue = Past revenue / forecasted

figure / weighted average of bothc) Competitive Parity: Based on budgeted figure of competitors or

industry average; competitor comparable in size and revenue is chosen

Page 11: Sales Budget & Forecasting

11

Types of Budgets

d) Objective & Task: a), b), c) do not take cognizance of

organization’s objective in developing budget. Identify objective with employees Identify tasks for achieving objective Expenditure required Form budget

e) Return Oriented Method: ROI, ROA, ROTA, ROAM (Assets

Management)

Page 12: Sales Budget & Forecasting

12

Successful Budgeting

Page 13: Sales Budget & Forecasting

13

Successful Budgeting• Involvement & Support of Top Management Support Budgeting & ensure all-round

participation; should not be viewed as a pressure tactic but as an effective tool for performance;

ii. Flexibility in Budgeting Should be adjustable to fast changing

environmental conditions

Page 14: Sales Budget & Forecasting

14

How to develop a Sales Budget

Page 15: Sales Budget & Forecasting

15

How to develop a Sales Budget

1. Review and Analysis Collection of past data and study of variances

between projected and actual2. Identifying market opportunity and problems3. Sales forecasting 4. Communication of Sales goals & objectives Involvement of sales people is essential for mutual

agreement

Page 16: Sales Budget & Forecasting

16

How to develop a Sales Budget

5. Allocation of resources Selecting salespeople, tools of sales, financial

resources6. Preparing the budget Balance between sales force capability and

market opportunities 7. Approval for the budget

Page 17: Sales Budget & Forecasting

17

Sales Forecasts

Page 18: Sales Budget & Forecasting

18

• Market Potential Vs Sales Potential

Page 19: Sales Budget & Forecasting

19

Sales Forecasts

1. Market Potential: Maximum possible sales opportunities in part. mkt. segment, over a future period, assuring application of appropriate marketing methods.

2. Sales Potential: maximum possible sales opportunity for specific company in part. Mkt. segment over future period.

MP : Total Industry SP : Part. Co.

Page 20: Sales Budget & Forecasting

20

Sales Forecasts

3. Sales Forecast: In Re/Units, how much of a company’s product can be sold over a future period, under a given marketing program on assumed set of external factors.

Page 21: Sales Budget & Forecasting

21

Market Potential Analysis

i. Market identificationii. Ability to buyiii. Willingness to buySources of Data: a) Secondary: Environment Analysisb) Primary: Customers spending patterns,

preferences

Page 22: Sales Budget & Forecasting

22

Why is SP different from SF?

Page 23: Sales Budget & Forecasting

23

Why is SP different from SF?

i. Inadequate Production Capacityii. Inadequate Distributioniii. Inadequate Financesiv. Profit Orientation: Profitable Sales vs. Possible

Sales

Page 24: Sales Budget & Forecasting

24

Analyzing Market Potential

i. Top down: Top mgmt. assesses market on basis of macro environmental data

ii. Bottom up: Micro enviro. factors of market like customer, products, ability to buy etc. are analyzed by lower management

Page 25: Sales Budget & Forecasting

25

Sales Forecasting Method

i. Qualitative Forecastsa) Judgment Methodsb) Counting Methods

Page 26: Sales Budget & Forecasting

26

Judgment Methods

1. Delphi Technique: Systematic Method for obtaining consensus from a group of experts.

2. Nominal Group Technique: Experts from diverse backgrounds

3. Jury of Executive Opinion: Opinions of executives at top level, based on experience & utilization – Lacks scientific validity senior most opinion prevails.

Page 27: Sales Budget & Forecasting

27

Counting Methods

1. User Expectations: Usually for industrial products by directly getting data from customers.

2. Sales Force Composite: Estimate of expected sales from every salesperson; can over/under estimate, lack broader perspective.

3. Market Tests: Limited area consumer acceptance.

Page 28: Sales Budget & Forecasting

28

Quantitative Forecasts

1. Time Series Analysis: Estimation of future trends based on past performance; Long Term Forecasts

Sales = T (long term variations × C (cyclical variations) × S (Seasonal changes) × I (Irregular changes in environment)

Page 29: Sales Budget & Forecasting

29

Quantitative Forecasts

2. Moving Average: Sales forecasts on sales of previous period: assumes environmental irregularities in past will be there in present.

nSales.......SalesSalesSales(Sales nt2t1tt

1t

Page 30: Sales Budget & Forecasting

30

Quantitative Forecasts

3. Exponential Smoothing Refines (2) – More weightage to sales in recent periods vis-à-vis older periods.

Page 31: Sales Budget & Forecasting

31

Quantitative Forecasts

4. Regression & Correlation (Multiple Regression) Correlation: Degree of relationship between sales & other variables.

Regression: Identify factor that influence sales & predicts changes in one variable due to changes in other.

Most popular & widely used method Identifies relationship between sales and other

independent factors on which sales is dependant.

Page 32: Sales Budget & Forecasting

32

Which method to use?

a) Accuracy: Quantitative better than qualitative, short term: exponential method is accurate; more than six months: exponential

smoothing and moving averages more than one year: regression b) Costsc) Data availabilityd) Software availability: models and

applications for forecasting need different types of data

e) Companies experience in forecasting

Page 33: Sales Budget & Forecasting

33

Forecasting is effective if it is:

Page 34: Sales Budget & Forecasting

34

Forecasting is effective if it is:

a) Accurateb) Cost effectivec) Comprehensibled) Timelye) Flexiblef) Plausible: Has to be done with sincerity hence

no manipulation of figures under pressure can be allowed; Top Management has to be willing to face accurate estimates even if they are not rosy.

g) Durable: By using quantitative techniques, combining forecasting techniques; using software.